Methods, personal data analysis system for sensitive personal information detection, linking and purposes of personal data usage prediction

Abstract

Systems and methods for personal data classification, linkage and purpose of processing prediction are provided. The system for personal data classification includes an entity extraction module for extracting personal data from one or more data repositories in a computer network or cloud infrastructure, a linkage module coupled to the entity extraction module, a linkage module coupled to the entity extraction module and a processing prediction module. The entity extraction module performs entity recognition from the structured, semi-structured and unstructured records in the one or more data repositories. The linkage module uses graph-based methodology to link the personal data to one or more individuals. And the purpose prediction module includes a feature extraction module a purpose of processing prediction module, wherein the feature extraction module extracts both context features and record's features from records in the one or more data repositories, and the purpose of processing prediction module predicts a unique or multiple purpose of processing of the personal data.

Description

PRIORITY CLAIM[0001]This application claims priority from Singapore Patent Application No. 10201811833W filed on 31 Dec. 2018.TECHNICAL FIELD[0002]The present invention relates generally to data manipulation, storage and management, and more particularly relates to deep learning, machine learning methods and text summarization techniques for personal data detection, extraction, linking, protection and management.BACKGROUND OF THE DISCLOSURE[0003]Privacy is becoming one of the highest concerns in the public sphere. New regulations in effect or coming into effect in Europe (General Data Protection Regulation (GDPR)), US (on a federal basis), Brazil (General Data Protection Law), Singapore (Personal Data Protection Act) and other countries, set standards for data protection and privacy for an individual's personal information. Such personal information is sensitive and may include name, date of birth, address, identification number, issue date and information, and extraction of such pe...

AI Technical Summary

Problems solved by technology

Compliance with such regulations is challenging in today's data-driven world where companies have documents containing such sensitive personal information stored.

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